Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Elkasista Jurnal Rekayasa Energi
Maulana, Irfan Maulana
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PERANCANGAN MONITORING SYSTEM UNTUK PHARMACEUTICAL REFRIGERATOR MENGGUNAKAN SENSOR DHT22-MQ9 BERBASIS IOT Maulana, Irfan Maulana; Haryanti, Tri
JURNAL REKAYASA ENERGI Vol. 4 No. 1 (2025): Jurnal Rekayasa Energi
Publisher : Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jre.v4i1.80

Abstract

The quality of pharmaceutical storage is highly influenced by temperature stability, humidity, and environmental cleanliness. Suboptimal monitoring of pharmaceutical refrigerators can lead to the degradation of active drug ingredients and reduce efficacy. This study aims to design, develop, and evaluate an Internet of Things (IoT)-based Smart Monitoring System for pharmaceutical refrigerators. The system integrates DHT22 and MQ-9 sensors using NodeMCU ESP8266 and the Arduino IoT Cloud platform to monitor temperature, humidity, and the presence of harmful gases in real-time, ensuring drug storage stability. Calibration was performed by comparing sensor readings against the Elitech GSP-6 reference measuring device and the safe threshold standard for carbon monoxide (200 ppm). Test results showed that DHT22 temperature readings ranged from 8–13°C (a deviation of +1–2°C from the reference), while humidity readings were 50–82% (a deviation of -2–3% from the reference). The minimum temperature only reached 8°C (failing to achieve the target of 2°C) due to door-opening activity and refrigerator overloading. The MQ-9 sensor recorded safe CO concentrations (22–42 ppm, equivalent to 11–21% of the 200 ppm limit). CO gas fluctuations remained within tolerance limits, but temperature and humidity occasionally exceeded WHO and BPOM standards (temperature: 2–8°C; humidity: 40–60%). The system provides accurate and responsive monitoring, supporting improved efficiency in automated pharmaceutical storage environment supervision, and has the potential to prevent product degradation due to unsuitable storage conditions.
IMPLEMENTATION OF RGB COLOR SEGMENTATION SYSTEM ON DIGITAL IMAGERY FOR OCTAVE-BASED COLOR DOMINANCE CLASSIFICATION: Elkasista Dwi , Hendro; Maulana, Irfan Maulana; Prabowo, Choirul RiO
Elektronika Sistem Senjata Vol 6 No 2 (2025): Jurnal Elkasista
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/elka.v6i2.580

Abstract

Abstract: A digital color image consists of three main components, namely red, green, and blue, known as the RGB color model. This study aims to implement a color segmentation method on digital images to classify color dominance using Octave application. The segmentation process is carried out by comparing the intensity of each color channel and producing three output images: red-dominant, green-dominant, and blue-dominant regions. The image was used for testing the effectiveness of color separation through logical masking. The results show that this method accurately isolates objects based on dominant colors and can be applied to various image processing tasks such as object tracking, color classification, and visual analysis. This research provides a foundation for developing simple yet effective computer vision systems
Co-Authors Dwi , Hendro Prabowo, Choirul Rio Tri Haryanti